The dataset consists of airport specific ground crew and allocation data for four major airports - Kempegowda International Airport (BLR), Rajiv Gandhi International Airport (HYD), Indira Gandhi International Airport (DEL), and Chhatrapati Shivaji Maharaj International Airport (BOM). The tasks, floors and gates, i.e, the tasks and their locations are factual data where as the allocation data is approximately close to realistic demand. The crew demand is synthetically generated.
This opinion explores the integration of Artificial Intelligence in foreign language education, examining both its potential benefits and inherent risks. AI tools offer personalized learning experiences, interactive practice, and access to authentic resources, potentially reducing learning-related stress. However, over-reliance on AI may hinder critical thinking and raise concerns about accuracy, originality, and ethical considerations like algorithmic bias. A balanced approach is crucial, emphasizing the importance of academic integrity, ethical conduct, and responsible technology use.
FormAI is a novel AI-generated dataset comprising 112,000 compilable and independent C programs. All the programs in the dataset were generated by GPT-3.5-turbo using dynamic zero-shot prompting technique and comprises programs with varying levels of complexity. Some programs handle complicated tasks such as network management, table games, or encryption, while others deal with simpler tasks like string manipulation. Each program is labelled based on vulnerabilities present in the code using a formal verification method based on the Efficient SMT-based Bounded Model Checker (ESBMC).
Cybercriminal accounts in Ethereum contain five classes: normal, phishing, Ponzi, hack, and scam.
2D geometrically shaped constellations that are simultaneously robust to both residual phase noise (RPN) and AWGN (named as LCM-RPN, where LC is the low-complexity receiver metric from [1]) for 8 to 64-ary PCAWGN reception using a mismatched PCAWGN model. We added AWGN-only shaped constellations (LCM-AWGN) to serve as a reference; the term M is the modulation cardinality.
This database is provided for the Fake News Detection task. In addition to being used in other tasks of detecting fake news, it can be specifically used to detect fake news using the Natural Language Inference (NLI).
time-series, accelerometer, gyroscope-to-yaw, acoustic localization
